IDENTIFICATION OF LONG NON-CODING RNAS ASSOCIATED TO THE CMS MOLECULAR SUBTYPES AS PREDICTIVE BIOMARKERS OF RESPONSE TO THERA PY IN COLORECTAL CANCER.

SAULNIER D; ABBA MC; LACUNZA E

Congreso; ANNUAL MEETING OF BIOSCIENCE SOCIETIES 2021; 2021

The consensus molecular subtypes (CMSs) of colorectal cancer (CRC) define tumor heterogeneity at the gene-expression level. The clinical utility of the CMS classification resides in the possibility to estimate survival (prognostic value) and select patients for both chemotherapy and currently used targeted agents (predictive value). Long Non-coding RNAs (lncRNA) have been largely associated to cancer constituting an essential approach for the search and identification of these biomarkers. Aim: To identify signatures of lncRNA distinctive of each CMS subtype with prognostic and predictive value. Methods: We performed an integrative bioinformatics analysis on GDC-TCGA-CRC dataset (n=674), considering CMS and SFM-classification that discriminate tumor microenvironment and drug sensitivity. We first classify tumors in CMSs. We annotated lncRNAs (n=14084) and applied DESeq2 for the comparison of each CMS (CMSk) versus the rest (CMSK-k; pvalue 1). We obtained the lists of the up-modulated lncRNAs exclusive of each CMS. We determined their association with molecular features and with the immune, stromal or epithelial tumor component. We performed survival analysis (p